Around this time, my coworkers were pushing GitHub Copilot within Visual Studio Code as a coding aid, particularly around then-new Claude Sonnet 4.5. For my data science work, Sonnet 4.5 in Copilot was not helpful and tended to create overly verbose Jupyter Notebooks so I was not impressed. However, in November, Google then released Nano Banana Pro which necessitated an immediate update to gemimg for compatibility with the model. After experimenting with Nano Banana Pro, I discovered that the model can create images with arbitrary grids (e.g. 2x2, 3x2) as an extremely practical workflow, so I quickly wrote a spec to implement support and also slice each subimage out of it to save individually. I knew this workflow is relatively simple-but-tedious to implement using Pillow shenanigans, so I felt safe enough to ask Copilot to Create a grid.py file that implements the Grid class as described in issue #15, and it did just that although with some errors in areas not mentioned in the spec (e.g. mixing row/column order) but they were easily fixed with more specific prompting. Even accounting for handling errors, that’s enough of a material productivity gain to be more optimistic of agent capabilities, but not nearly enough to become an AI hypester.
Where Americans gave up, Chinese startups persevered. Borrowing from mobile gaming, they sold cheaply made shows by the episode instead of selling monthly subscriptions for premium shows.
。91视频对此有专业解读
Гангстер одним ударом расправился с туристом в Таиланде и попал на видео18:08
他認為，美國與以色列選擇此時出手，是基於判斷伊朗政權「虛弱且脆弱」。他說，兩國相信大規模而集中的聯合行動可能嚴重動搖伊朗，甚至引發內部變化。
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